mBART_slang_to_standard_4

eunyounglee/mBART_slang_to_standard_4

mBART_slang_to_standard_4 is a machine learning model from eunyounglee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: mit
Model type: mbart
Access: Public
Created: Oct 4, 2022
Updated: Oct 4, 2022
SHA: 6a9a4860

Model card

From the Hugging Face model README

mBART_slang_to_standard_4

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9058
Bleu: 60.5005
Gen Len: 47.7251

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	106	2.6704	60.4144	51.1659
No log	2.0	212	2.0665	60.2528	47.1848
No log	3.0	318	1.9058	60.5005	47.7251

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: mbart
License: mit
Created: Oct 4, 2022
Updated: Oct 4, 2022